SEFGAN: Harvesting the Power of Normalizing Flows and GANs for Efficient High-Quality Speech Enhancement
Author:
Affiliation:
1. International Audio Laboratories Erlangen,Erlangen,Germany,91058
2. Fraunhofer IIS,Erlangen,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10248019/10248047/10248144.pdf?arnumber=10248144
Reference29 articles.
1. Denoising Diffusion Implicit Models;song;9th Int Conf on Learning Representations ICLR,2021
2. Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain
3. Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
4. Waveglow: A Flow-based Generative Network for Speech Synthesis
5. Universal Speech Enhancement with Score-based Diffusion;serrà,2022
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